091615

README.md

@@ -10,41 +10,81 @@ tags:
 size_categories:
 - 10G<n<100G
 ---
-
 # Agibot2UnitreeG1Retarget Dataset
 
 ## Description
-This dataset contains motion retargeting data from Agibot to UnitreeG1 humanoid robot.
+This dataset contains action retargeting data from Agibot to UnitreeG1 humanoid robot.
 
 ## Dataset Size
 - Total size: ~30GB
-- Split into multiple 4GB parts for easier download
+- Split into 7 parts (A2UG1_dataset.tar.gz.aa to A2UG1_dataset.tar.gz.ag)
+- Each part is approximately 4GB
 
 ## Usage
 
-### Download
+### Method 1: Using Hugging Face Hub (Recommended)
+```bash
+pip install huggingface-hub
+```
+
+```python
+from huggingface_hub import snapshot_download
+# Download the entire dataset
+snapshot_download(
+    repo_id="l2aggle/Agibot2UnitreeG1Retarget",
+    repo_type="dataset",
+    local_dir="./Agibot2UnitreeG1Retarget"
+)
+```
+
+### Method 2: Using Git with LFS
 ```bash
+# Make sure git-lfs is installed
+git lfs install
+# Clone the repository (this will download LFS pointer files)
 git clone https://huggingface.co/datasets/l2aggle/Agibot2UnitreeG1Retarget
 cd Agibot2UnitreeG1Retarget
+# Download the actual large files
+git lfs pull
 ```
 
+### Method 3: Manual Download
+Download individual parts through the Hugging Face web interface:
+https://huggingface.co/datasets/l2aggle/Agibot2UnitreeG1Retarget/tree/main
+
+## Extract Dataset
+After downloading, extract the complete dataset:
 
-## Extract 
 ```bash
+# Combine and extract all parts
 cat A2UG1_dataset.tar.gz.* | tar -xzf -
 ```
- 
 
-This will create the complete `A2UG1_dataset` folder with all original files. 
-## File Structure 
+This will create the complete `A2UG1_dataset` folder with all original files.
 
-After extraction, you'll get the complete dataset directory structure. 
-## Requirements 
+## File Structure
+```
+A2UG1_dataset/
+├── [your dataset structure will be shown here after extraction]
+```
 
-- At least 30GB free disk space for extraction
-- tar and gzip utilities (standard on Linux/Mac)
-     
+## Requirements
+- At least 60GB free disk space (30GB for download + 30GB for extraction)
+- For Method 1: Python 3.6+ with `huggingface-hub` package
+- For Method 2: Git with Git LFS support
+- tar utility (standard on Linux/Mac, available on Windows via WSL or Git Bash)
 
-## License 
+## Installation Requirements
+```bash
+# For Method 1
+pip install huggingface-hub
+# For Method 2 (if git-lfs not installed)
+# Ubuntu/Debian:
+sudo apt install git-lfs
+# macOS:
+brew install git-lfs
+# Windows: download from https://git-lfs.github.io/
+```
 
+## License
 Apache 2.0